Glycan-Binding Antibody Libraries for High-Affinity Screening
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Solution Overview
Problem
Designing antibodies against glycosylated antigens is challenging due to the balance between immunological effects and therapeutic efficacy, particularly in oncology, inflammation, and infectious diseases.
Innovation Solution
Development of nucleic acid libraries comprising variant immunoglobulin sequences, specifically encoding glycan binding domains, to generate antibodies with high specificity and affinity, utilizing methods such as phage display and in-silico library design to enrich for desired sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional antibody design methods are used against glycosylated antigens, then the design process becomes challenging and time-consuming, but the resulting antibodies may achieve adequate binding affinity
Solution Approach 1:
The patent applies preliminary action by pre-designing nucleic acid libraries with optimized variant immunoglobulin sequences before screening. The libraries are constructed with specific CDR region variations and framework region sequences that are predicted to have high binding affinity based on in-silico modeling and structural analysis, allowing the selection process to start with pre-optimized candidates rather than random sequences
Solution Approach 2:
The patent uses copying by creating synthetic nucleic acid library sequences that replicate and expand upon naturally occurring antibody sequences. Through in-silico design, computational models generate variant sequences that copy successful binding motifs while introducing controlled variations to explore affinity optimization space, enabling efficient screening of thousands of theoretical variants
2Adaptability or versatility
If large nucleic acid libraries with high sequence diversity are constructed, then the probability of finding high-affinity antibodies increases, but the complexity of library construction and screening increases
Solution Approach 1:
The patent applies segmentation by dividing the antibody sequence into distinct functional regions that are independently optimized. The CDR regions (CDR1, CDR2, CDR3) are segmented and varied to provide sequence diversity for antigen recognition, while framework regions are segmented and maintained with sequences optimized for structural stability and expression. This modular approach allows diverse library construction without requiring complete randomization of entire antibody sequences
Solution Approach 2:
The patent uses parameter changes by systematically varying specific parameters in the nucleic acid sequences, such as codon usage, GC content, and CDR region length, while maintaining other parameters within optimal ranges. The libraries incorporate variants with different numbers of amino acid substitutions (e.g., 1-5 substitutions per sequence) and different substitution positions, creating controlled diversity that balances library complexity with constructability
Data Source
AI summary
Provided herein are methods and compositions relating to glycan libraries having nucleic acids encoding for a scaffold comprising a glycan domain. Glycan libraries described herein encode for immunoglobulins such as antibodies.